81 citations as recorded by crossref.

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3. Assessment of OMI near‐UV aerosol optical depth over Central and East Asia W. Zhang et al. 10.1002/2015JD024103
4. Constraining black carbon aerosol over Asia using OMI aerosol absorption optical depth and the adjoint of GEOS-Chem L. Zhang et al. 10.5194/acp-15-10281-2015
5. Primary Evaluation of the GCOM-C Aerosol Products at 380 nm Using Ground-Based Sky Radiometer Observations H. Hoque et al. 10.3390/rs12162661
6. Insight into global trends in aerosol composition from 2005 to 2015 inferred from the OMI Ultraviolet Aerosol Index M. Hammer et al. 10.5194/acp-18-8097-2018
7. In situ measurements of trace gases, PM, and aerosol optical properties during the 2017 NW US wildfire smoke event V. Selimovic et al. 10.5194/acp-19-3905-2019
8. Retrieving Aerosol Characteristics From the PACE Mission, Part 1: Ocean Color Instrument L. Remer et al. 10.3389/feart.2019.00152
9. Comparison of south-east Atlantic aerosol direct radiative effect over clouds from SCIAMACHY, POLDER and OMI–MODIS M. de Graaf et al. 10.5194/acp-20-6707-2020
10. Wildfire Smoke Particle Properties and Evolution, From Space-Based Multi-Angle Imaging II: The Williams Flats Fire during the FIREX-AQ Campaign K. Junghenn Noyes et al. 10.3390/rs12223823
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13. Chemistry of Atmospheric Brown Carbon A. Laskin et al. 10.1021/cr5006167
14. Hourly Mapping of the Layer Height of Thick Smoke Plumes Over the Western U.S. in 2020 Severe Fire Season Z. Lu et al. 10.3389/frsen.2021.766628
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16. Interpreting the ultraviolet aerosol index observed with the OMI satellite instrument to understand absorption by organic aerosols: implications for atmospheric oxidation and direct radiative effects M. Hammer et al. 10.5194/acp-16-2507-2016
17. Satellite remote sensing of aerosol optical depth: advances, challenges, and perspectives X. Wei et al. 10.1080/10643389.2019.1665944
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20. Discrimination of biomass burning smoke and clouds in MAIAC algorithm A. Lyapustin et al. 10.5194/acp-12-9679-2012
21. Deriving brown carbon from multiwavelength absorption measurements: method and application to AERONET and Aethalometer observations X. Wang et al. 10.5194/acp-16-12733-2016
22. Stratospheric Injection of Massive Smoke Plume From Canadian Boreal Fires in 2017 as Seen by DSCOVR‐EPIC, CALIOP, and OMPS‐LP Observations O. Torres et al. 10.1029/2020JD032579
23. Single Scattering Albedo’s Spectral Dependence Effect on UV Irradiance I. Raptis et al. 10.3390/atmos9090364
24. Interpretation of FRESCO cloud retrievals in case of absorbing aerosol events P. Wang et al. 10.5194/acp-12-9057-2012
25. Merging regional and global aerosol optical depth records from major available satellite products L. Sogacheva et al. 10.5194/acp-20-2031-2020
26. Aerosol Mass and Optical Properties, Smoke Influence on O3, and High NO3 Production Rates in a Western U.S. City Impacted by Wildfires V. Selimovic et al. 10.1029/2020JD032791
27. A 12-year long global record of optical depth of absorbing aerosols above the clouds derived from the OMI/OMACA algorithm H. Jethva et al. 10.5194/amt-11-5837-2018
28. A multiparameter aerosol classification method and its application to retrievals from spaceborne polarimetry P. Russell et al. 10.1002/2013JD021411
29. Retrievals of Aerosol Optical Depth and Spectral Absorption From DSCOVR EPIC A. Lyapustin et al. 10.3389/frsen.2021.645794
30. Explicit Aerosol Correction of OMI Formaldehyde Retrievals Y. Jung et al. 10.1029/2019EA000702
31. Insights into the aging of biomass burning aerosol from satellite observations and 3D atmospheric modeling: evolution of the aerosol optical properties in Siberian wildfire plumes I. Konovalov et al. 10.5194/acp-21-357-2021
32. SEVIRI Aerosol Optical Depth Validation Using AERONET and Intercomparison with MODIS in Central and Eastern Europe N. Ajtai et al. 10.3390/rs13050844
33. Aerosol Absorption Over Land Derived From the Ultra-Violet Aerosol Index by Deep Learning J. Sun et al. 10.1109/JSTARS.2021.3108669
34. Multi-Angle Imager for Aerosols Y. Liu & D. Diner 10.1177/0033354916679983
35. Temporal and Spatial Variations of Satellite-Based Aerosol Optical Depths, Angstrom Exponent, Single Scattering Albedo, and Ultraviolet-Aerosol Index over Five Polluted and Less-Polluted Cities of Northern India: Impact of Urbanization and Climate Change R. Singh et al. 10.1007/s41810-022-00168-z
36. How to Measure the Amount of Aerosol Optical Thickness in the Atmosphere in a Simple Way: A Calitoo Handheld Sun-Photometer Measurement A. Bayat & A. Assarenayati 10.1016/j.atmosenv.2022.119570
37. An optimal-estimation-based aerosol retrieval algorithm using OMI near-UV observations U. Jeong et al. 10.5194/acp-16-177-2016
38. Recent advances in understanding secondary organic aerosol: Implications for global climate forcing M. Shrivastava et al. 10.1002/2016RG000540
39. Evaluation of Aerosol Properties Observed by DSCOVR/EPIC Instrument From the Earth‐Sun Lagrange 1 Orbit C. Ahn et al. 10.1029/2020JD033651
40. A Climatological Satellite Assessment of Absorbing Carbonaceous Aerosols on a Global Scale . Hatzianastassiou et al. 10.3390/atmos10110671
41. In situ microphysics observations of intense pyroconvection from a large wildfire D. Kingsmill et al. 10.5194/acp-23-1-2023
42. The role of aerosol layer height in quantifying aerosol absorption from ultraviolet satellite observations J. Sun et al. 10.5194/amt-12-6319-2019
43. Ground-based retrievals of aerosol column absorption in the UV spectral region and their implications for GEMS measurements S. Go et al. 10.1016/j.rse.2020.111759
44. Top-of-atmosphere radiative forcing affected by brown carbon in the upper troposphere Y. Zhang et al. 10.1038/ngeo2960
45. Impact of biomass burning on regional aerosol optical properties: A case study over northern India D. Shaik et al. 10.1016/j.jenvman.2019.04.025
46. Observational evidence of elevated smoke layers during crop residue burning season over Delhi: Potential implications on associated heterogeneous PM2.5 enhancements A. Mhawish et al. 10.1016/j.rse.2022.113167
47. A comparative evaluation of Aura-OMI and SKYNET near-UV single-scattering albedo products H. Jethva & O. Torres 10.5194/amt-12-6489-2019
48. The role of cloud contamination, aerosol layer height and aerosol model in the assessment of the OMI near-UV retrievals over the ocean S. Gassó & O. Torres 10.5194/amt-9-3031-2016
49. Increasing Wind Speeds Fuel the Wider Spreading of Pollution Caused by Fires over the IGP Region during the Indian Post-Monsoon Season V. Kumar et al. 10.3390/atmos13091525
50. Using the OMI aerosol index and absorption aerosol optical depth to evaluate the NASA MERRA Aerosol Reanalysis V. Buchard et al. 10.5194/acp-15-5743-2015
51. Aerosol absorption retrieval at ultraviolet wavelengths in a complex environment S. Kazadzis et al. 10.5194/amt-9-5997-2016
52. Evolution of the light-absorption properties of combustion brown carbon aerosols following reaction with nitrate radicals Z. Cheng et al. 10.1080/02786826.2020.1726867
53. Modelled and measured effects of clouds on UV Aerosol Indices on a local, regional, and global scale M. Penning de Vries & T. Wagner 10.5194/acp-11-12715-2011
54. The variability of biomass burning and its influence on regional aerosol properties during the wheat harvest season in North China L. Wang et al. 10.1016/j.atmosres.2015.01.009
55. Shortwave absorption by wildfire smoke dominated by dark brown carbon R. Chakrabarty et al. 10.1038/s41561-023-01237-9
56. Absorbing aerosol radiative effects in the limb-scatter viewing geometry A. Wiacek et al. 10.5194/amt-6-2761-2013
57. Using Multi-Platform Satellite Observations to Study the Atmospheric Evolution of Brown Carbon in Siberian Biomass Burning Plumes I. Konovalov et al. 10.3390/rs14112625
58. Simultaneous retrievals of biomass burning aerosols and trace gases from the ultraviolet to near-infrared over northern Thailand during the 2019 pre-monsoon season U. Jeong et al. 10.5194/acp-22-11957-2022
59. Quantifying the single-scattering albedo for the January 2017 Chile wildfires from simulations of the OMI absorbing aerosol index J. Sun et al. 10.5194/amt-11-5261-2018
60. Improvements to the OMI near-UV aerosol algorithm using A-train CALIOP and AIRS observations O. Torres et al. 10.5194/amt-6-3257-2013
61. Optimal Estimation-Based Algorithm to Retrieve Aerosol Optical Properties for GEMS Measurements over Asia M. Kim et al. 10.3390/rs10020162
62. Retrieving aerosol in a cloudy environment: aerosol product availability as a function of spatial resolution L. Remer et al. 10.5194/amt-5-1823-2012
63. Indirect estimation of absorption properties for fine aerosol particles using AATSR observations: a case study of wildfires in Russia in 2010 E. Rodríguez et al. 10.5194/amt-8-3075-2015
64. Aerosol direct radiative effect over clouds from a synergy of Ozone Monitoring Instrument (OMI) and Moderate Resolution Imaging Spectroradiometer (MODIS) reflectances M. de Graaf et al. 10.5194/amt-12-5119-2019
65. Air quality—climate forcing double whammy from domestic firelighters C. Lin et al. 10.1038/s41612-023-00427-x
66. Aerosol Shortwave Radiative Heating and Cooling by the 2017 and 2023 Chilean Wildfire Smoke Plumes M. de Graaf et al. 10.1029/2023GL104387
67. Estimation of black carbon emissions from Siberian fires using satellite observations of absorption and extinction optical depths I. Konovalov et al. 10.5194/acp-18-14889-2018
68. Estimating Spectral Effects of Absorbing Aerosols on Backscattered UV Radiation H. Jethva et al. 10.1029/2022EA002354
69. Comparisons of spectral aerosol single scattering albedo in Seoul, South Korea J. Mok et al. 10.5194/amt-11-2295-2018
70. Absorption properties of Mediterranean aerosols obtained from multi-year ground-based remote sensing observations M. Mallet et al. 10.5194/acp-13-9195-2013
71. Radiative characteristics of aerosol during extreme fire event over Siberia in summer 2012 T. Zhuravleva et al. 10.5194/amt-10-179-2017
72. Impacts of brown carbon from biomass burning on surface UV and ozone photochemistry in the Amazon Basin J. Mok et al. 10.1038/srep36940
73. Retrieving UV–Vis spectral single-scattering albedo of absorbing aerosols above clouds from synergy of ORACLES airborne and A-train sensors H. Jethva et al. 10.5194/amt-17-2335-2024
74. Reducing multisensor satellite monthly mean aerosol optical depth uncertainty: 1. Objective assessment of current AERONET locations J. Li et al. 10.1002/2016JD025469
75. Impacts of nonrefractory material on light absorption by aerosols emitted from biomass burning G. McMeeking et al. 10.1002/2014JD021750
76. A Color Ratio Method for Simultaneous Retrieval of Aerosol and Cloud Optical Thickness of Above-Cloud Absorbing Aerosols From Passive Sensors: Application to MODIS Measurements H. Jethva et al. 10.1109/TGRS.2012.2230008
77. Retrieval of Aerosol Optical Depth above Clouds from OMI Observations: Sensitivity Analysis and Case Studies O. Torres et al. 10.1175/JAS-D-11-0130.1
78. Validation of MODIS, MISR, OMI, and CALIPSO aerosol optical thickness using ground-based sunphotometers in Hong Kong M. Wong et al. 10.1080/01431161.2012.720739
79. Analysis of long-range transport of aerosols for Portugal using 3D chemical transport model and satellite measurements O. Tchepel et al. 10.1016/j.atmosenv.2012.09.061
80. The contribution of different aerosol sources to the Aerosol Optical Depth in Hong Kong Z. Zhang et al. 10.1016/j.atmosenv.2013.10.047
81. Classification of dust days by satellite remotely sensed aerosol products M. Sorek-Hamer et al. 10.1080/01431161.2012.748991